Resilient Control under Denial-of-Service Attacks

University of Groningen

Resilient Control under Denial-of-Service Attacks

Feng, Shuai

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Publication date: 2018

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Feng, S. (2018). Resilient Control under Denial-of-Service Attacks. University of Groningen.

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Propositions

Resilient Control

under Denial-of-Service Attacks

Shuai Feng

1. Equipping a controller with prediction capabilities improves the resilience of the control system against Denial-of-Service (DoS) attacks.

2. For full-state measurements of the process, a predictive controller with state resetting makes it possible to maximize the amount of DoS that one can tolerate for a general class of DoS signals. 3. For partial-state measurements of the process, the gap from the

optimal bound depends on the process observability index. The optimal bound can be recovered if the sensor system is equipped with extra computation capabilities and the communication pro-tocol is acknowledgment-based.

4. In the presence of data quantization, a sucient condition on the bit rate needed to achieve stability can be given also under DoS attacks.

5. When co-location of the control unit at the process actuators is not possible, buering provides an eective way to maintain a certain level of resilience against DoS.

6. Resilience of distributed systems against DoS remains largely un-explored. Current results fail to characterize the network most critical links.